You have reached the CCN Inventory Tool Detailed Insights Report.
Congratulations! This geography has available data.
Potential data availability within the Inventory Tool ranges from Tier I, Tier II, or Tier III Carbon stock estimates.
Tier I: Global sediment carbon stock estimates.
Tier II: Country- or territory-level sediment carbon stock estimates.
Tier III: Modeled country- or territory-level sediment carbon stock estimates.
This document includes country-specific insights and more detailed analysis, including carbon stocks, emissions factors, and ecosystem wetland area for mangrove, marsh, and seagrass habitats. This report details information for the selected geography, Palau.
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This map represents the area of Palau and the locations of both soil cores and vegetation samples included in the Coastal Carbon Atlas.
Total Carbon stock estimates were calculated for each geography in total, and for mangrove, tidal marsh, and seagrass habitats, when available.
We estimate that Palau contains a mean estimate of 2510000 megagrams per hectare sediment carbon stock.
We estimate that Palau contains between 3366000 to 1655000 megagrams per hectare sediment carbon to a depth of 1 m, with a mean estimate of 2510000 megagrams per hectare.
| Country | Territory | Total Stocks | Upper CI | Lower CI |
|---|---|---|---|---|
| Palau | Palau | 2510000 | 1655000 | 3366000 |
| Country | Territory | Habitat | Total Stock | Lower CI | Upper CI | Standard Error |
|---|---|---|---|---|---|---|
| Palau | Palau | Mangrove | 2510000 | 1655000 | 3366000 | 445600 |
This total estimate includes total mangrove soil carbon stocks, with a mean estimate of 2510000 megagrams per hectare soil carbon to a depth of 1 meter.
| Territory | Habitat | Total Stock |
|---|---|---|
| Palau | Seagrass | 863800 |
This estimate also includes seagrass soil carbon stocks for Palau which we estimate to have a mean of 863800 megagrams per hectare sediment carbon stock.
We estimate mangrove area in Palau to be 4928 to 6506 hectares, with a mean estimate of 5612 hectares according to Global Mangrove Watch, Bunting et al. (2018).
We estimate tidal marsh area in Palau to be approximately 0 hectares, according to Worthington et al. (2024).
We estimate seagrass area to be Palau to be a mean of 7998 hectares, according to McKenzie et al. (2020), which aggregates global seagrass data from a number of sources.
This section of the report details whether data is available to estimate Tier I, Tier II, or Tier III value estimates for tidal marsh, mangrove, and seagrass ecosystems in Palau.
If data for the selected country is available in the Coastal Carbon Atlas, we have applied a Tier II emission factor based on a simple average of country specific data queried from the Atlas.
Within the Coastal Carbon Atlas, data from the selected geography, Palau, includes soil samples, but does not yet include vegetation samples.
Soil core data from Palau included in the Coastal Carbon Atlas consists of 16 soil profiles from 16 sites. This data comes from 1 distinct habitat type(s).
In the case that there is not yet any country specific information in the Coastal Carbon Atlas, we instead applied IPCC Tier I estimate, which are estimated global values. IPCC Global estimates for mangrove, marsh, and seagrass ecosystems are listed below.
The table titled “Availiability of Territory-Level Data” in this section also details whether the calculated Tier II, or territory-level sediment carbon stock value is significantly different from the estimated global values. This is observed in the “Reporting Insight” column, and can be helpful in observing when a habitat has a higher or lower estimated sediment carbon stock value than the IPCC Global estimates.
| Habitat | Mean | Lower_CI | Upper_CI |
|---|---|---|---|
| mangrove | 386 | 351 | 424 |
| marsh | 255 | 254 | 297 |
| seagrass | 108 | 84 | 139 |
| Country | Territory | Habitat | Tier | Reporting Insight |
|---|---|---|---|---|
| Palau | Palau | mangrove | Territory-Level | Territory-level average overlaps global value |
| Palau | Palau | seagrass | Global | No Tier II data available at this time |
This section includes estimated global sediment carbon stocks included for Palau. In the case that all habitats; mangrove, tidal marsh, and seagrass have availiable territory-level estimates, please refer to Table 2: IPCC Tier I Value Estimates for applicable global values.
This table includes country or territory level sediment carbon stock estimates for Palau. Estimates in this table were derived from available soil core data queried from the Coastal Carbon Atlas.
A selected country may have available territory-level values for one or multiple habitats, this is dependent on core data accessible through the Coastal Carbon Atlas. If a territory has habitat area, but that respective habitat type does not have an associated territory-level stock estimate, there is insufficient core data in the Coastal Carbon Atlas to estimate sediment carbon stock. At the time of analysis, referencing Version 1.5.0 of the Coastal Carbon Atlas and Data Library, Palau is represented by a total of 16 cores across 1 distinct habitats.
| Country | Territory | Habitat | Mean Stock (MgHa) | Lower CI | Upper CI | Standard Error |
|---|---|---|---|---|---|---|
| Palau | Palau | mangrove | 447 | 305 | 590 | 72.6 |
Tier III: modeled sediment carbon stocks were estimated, when available, using remote sensing data from Maxwell et al 2021 and Sanderman et al 2018. The table below details whether estimated values are available for any habitat in Palau, and details any overlap with associated global or territory-level estimates.
If there are no modeled estimates associated with the selected geography and specific habitat of interest, please refer to above tables of global and territory-level sediment carbon stocks.
| Country | Territory | Habitat | Mean Stock (MgHa) | Lower CI | Upper CI |
|---|---|---|---|---|---|
| Palau | Palau | mangrove | 593 | 458 | 728 |
In the selected geography, modeled estimated stock MgHa values are, greater than territory-level values estimated from Coastal Carbon Atlas Data. In this case, the modeled Remote-sensing esimate overlaps country-specific average. Additionally, estimated modeled stock values derived from remote sensing are greater than estimates global IPCC values. In this case, the modeled Remote-sensing esimate is significantly greater than Tier I global estimates.